title: Bioinformatic networks: molecular reticles for pinpointing pharmacological target selection.
abstract: Bridging centrality was developed as a novel metric to capitalize on rich biological networks and enable selection of therapeutically efficient, druggable candidates. Through incorporation of local and global network properties, targetable nodes are identified that harbor latent capacity to intercept informational flow without compromising systemic functionality. Translational implementation holds potential for increased therapeutic specificity and offers opportunities to add value to drug discovery and development through facilitation of individualized treatment.
authors.affiliation: Marriott Heart Disease Research Program, Division of Cardiovascular Diseases, Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA. faustino.randolph@mayo.edu
authors.forename: R S
authors.initials: RS
authors.lastname: Faustino
authors.forename: A
authors.initials: A
authors.lastname: Terzic
mesh_terms: D019295:Computational Biology / Q000379:methods / Q000639:trends*; D016503:Drug Delivery Systems / Q000379:methods / Q000639:trends*; D006801:Humans; D010601:Pharmacology, Clinical / Q000639:trends*